About Ultra Tendency

Ultra Tendency is a leading data and AI consultancy helping organizations accelerate digital transformation through modern data platforms, advanced analytics, and AI-driven solutions. As a trusted partner to enterprise customers across Europe, we specialize in delivering cloud-native data architectures and scalable solutions that unlock business value.

We are expanding our Databricks practice and are looking for an experienced Databricks Resident Solutions Architect (RSA) to work closely with our clients and delivery teams across EMEA.

The Role

As a Databricks Resident Solutions Architect, you will serve as a trusted technical advisor and strategic partner to enterprise customers. You will guide organizations through their data and AI transformation journeys, helping them design, implement, and optimize modern data platforms built on Databricks.

You will combine deep technical expertise with strong stakeholder management skills to ensure customers realize measurable value from their Databricks investments. Working alongside client teams, executives, engineers, and Ultra Tendency consultants, you will lead architecture decisions, promote best practices, and drive successful adoption of the Databricks Lakehouse Platform.

This is a highly customer-facing role requiring both hands-on technical capability and executive-level communication skills.

Key Responsibilities

Customer Advisory & Architecture

Act as the primary technical advisor for strategic Databricks customers.
Design and review scalable data, analytics, and AI architectures leveraging the Databricks Lakehouse Platform.
Lead architecture workshops, solution design sessions, and technical roadmap discussions.
Translate business requirements into technical solutions and implementation plans.
Advise customers on platform modernization, cloud migration, data governance, and AI initiatives.

Solution Delivery & Optimization

Support the successful implementation and adoption of Databricks solutions.
Review data engineering, analytics, machine learning, and GenAI workloads for scalability, performance, security, and cost optimization.
Identify and resolve technical blockers during customer engagements.
Drive architectural best practices for data pipelines, Lakehouse design, Unity Catalog, governance, and platform operations.

Technical Leadership

Serve as a subject matter expert on Databricks capabilities and emerging data & AI technologies.
Mentor customer teams and Ultra Tendency consultants on architecture patterns and best practices.
Deliver executive presentations, technical workshops, and enablement sessions.
Contribute to reusable assets, reference architectures, and practice development initiatives.

Business Development Support

Partner with sales and account teams during strategic customer engagements.
Support technical discovery, solution positioning, and proposal development.
Provide architecture guidance during pre-sales and proof-of-concept activities.
Identify opportunities for platform expansion and increased customer value.

Required Qualifications

7+ years of experience in data engineering, cloud architecture, analytics, or related fields.
3+ years working with Databricks in enterprise environments.
Strong expertise in modern data platform architecture and cloud-native solutions.
Hands-on experience designing and implementing Lakehouse architectures.
Strong knowledge of:

Databricks Data Intelligence Platform
Apache Spark
Delta Lake
Unity Catalog
Data Governance & Security
Data Warehousing and Lakehouse Design
ETL/ELT Architectures
Data Modeling

Experience with at least one major cloud platform:

Microsoft Azure (preferred)
AWS
Google Cloud Platform

Proficiency in:

Python
SQL
Spark

Experience engaging with executive stakeholders and technical leadership teams.
Excellent communication and presentation skills in English.

Preferred Qualifications

Databricks certifications such as:

Databricks Certified Data Engineer Professional
Databricks Certified Solutions Architect
Databricks Certified Machine Learning Professional

Experience with:

Generative AI and LLM solutions
MLflow
MLOps
Data Governance frameworks
Data Mesh architectures
Real-time and streaming data platforms

Experience in consulting or professional services environments.
Additional language skills in German, Spanish, or Portuguese are highly desirable.

What Success Looks Like

Customers successfully adopt and scale Databricks solutions.
Complex technical challenges are resolved quickly and effectively.
Executive stakeholders view you as a trusted advisor.
Best practices are consistently applied across customer environments.
Customer satisfaction, platform utilization, and business outcomes improve measurably.

Why Join Ultra Tendency?

Work with leading enterprise customers across Europe.
Be part of a rapidly growing Data & AI consultancy.
Access to cutting-edge technologies in Data Engineering, Analytics, AI, and GenAI.
Opportunity to shape and expand Ultra Tendency's Databricks practice.
Continuous learning and certification support.
Flexible and remote-friendly working environment.
Competitive compensation package.
Collaborative, entrepreneurial, and international culture.

Eligibility

Applicants must currently reside in Portugal and possess the legal right to work in the country . Unfortunately, we are unable to provide relocation assistance or visa sponsorship for this position.

About Us

Ultra Tendency is an international Data Engineering consultancy specializing in Big Data, Cloud, Streaming, IIoT, and Microservices. Since 2010, we have helped leading organizations—including the European Central Bank, Deutsche Telekom, and Europe’s largest automotive manufacturer—build and operate large-scale, data-driven platforms.

With 8 offices across 10 countries and a growing global team, we combine deep technical expertise with a strong commitment to open source. Our consultants actively contribute to projects such as Apache Kafka, Apache NiFi, Terraform, and Ansible, and we are a trusted Databricks partner.

At Ultra Tendency, you'll work on challenging projects that push the boundaries of Data and AI while collaborating with talented colleagues in a culture built on learning, knowledge sharing, and mutual support.

We evaluate candidates based on skills, experience, and business fit, and welcome applicants from all backgrounds.

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Databricks Resident Solutions Architect (m/f/*)

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